@article{
 title = {A User-Independent and Sensor-Tolerant Wearable Activity Classifier},
 type = {article},
 year = {2015},
 identifiers = {[object Object]},
 keywords = {activity,mhealth,sensors,wearable},
 pages = {64-71},
 volume = {48},
 websites = {http://dx.doi.org/10.1109/mc.2015.296},
 month = {10},
 publisher = {IEEE},
 institution = {Heron Systems},
 id = {33bca193-77d0-3e4f-b579-9b8b5183a71a},
 created = {2018-07-12T21:31:19.720Z},
 file_attached = {false},
 profile_id = {f954d000-ce94-3da6-bd26-b983145a920f},
 group_id = {b0b145a3-980e-3ad7-a16f-c93918c606ed},
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 citation_key = {blake:activity},
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 abstract = {An activity classifier based on an abstract model of the human body is suitable for use in an e-textile monitoring system without the need to retrain the recognition model to accommodate different users, sensor types, or garments.},
 bibtype = {article},
 author = {Blake, Madison and Younes, Rabih and Dennis, Jacob and Martin, Thomas L and Jones, Mark},
 journal = {Computer},
 number = {10}
}

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